Financial Analyst
Overview
Financial analysts are financial data detectives who study company performance, spot unusual patterns, and help businesses make smart financial decisions.
Description
- Monitor investments by analysing information from various sources.
- Make forecasts and recommendations to management teams, clients, and other key stakeholders.
- Prepare detailed market research reports.
- Create weekly and monthly management reports.
- Work with different parties like banks and investors on investment-related activities.
Entry requirements
- You at least need a Bachelor’s Degree or equivalent in Finance, Accounting, Economics, or Statistics.
- Gain experience through internships in business finance, focusing on statistical or numerical analysis work.
Salary
$3,500 – 5,000
/mo
Salary ranges are estimated based on public information found on Singaporean job portals, including MyCareersFuture, MySkillsFuture. Updated as of 2026.
Trivia
Financial analyst is actually an umbrella term covering many different specialties. These professionals work on things such as budgeting and forecasting, company valuations and merger deals and more - there's huge variety in this field.
What to expect
Master financial terminology and accounting language early - clear communication with clients and colleagues is essential for success in this field.
Soft
skills
Innovative Problem-Solving
Skilled in innovative thinking and strategy to solve financial challenges and optimise growth and stability.
Adaptability
Ability to adjust to changing financial market situations and changing strategies when needed.
Analytical Skills
Proficiency in analysing financial data and drawing logical conclusions to inform sound business recommendations.
Understanding of Quantitative Finance and Accounting
Understanding and application of mathematics and statistics to finance and risk management issues.
Knowledge of Global and Local Market Trends
Knowledge of global economics and local markets affecting financial choices.
Data Analytics software
Expertise in Excel, SQL, and Python, financial data analysis, and visual representations of trends in large datasets.